Slide 1

Slide 1 text

FROM HTTP TO KAFKA-BASED FROM HTTP TO KAFKA-BASED MICROSERVICES MICROSERVICES (EXTENDED) (EXTENDED) Wojciech Rząsa, FLYR Poland @wrzasa From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 2

Slide 2 text

Informatics specialist by passion and by profession 15 years of academic work PhD but primarily an engineer FLYR Inc. Distributed systems Rzeszow Ruby User Group ABOUT ME ABOUT ME http://flyrlabs.com http://rrug.pl From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 3

Slide 3 text

FLYR FLYR Revenue management system for airlines Offices in San Francisco, USA (PST) Kraków, Poland (CEST) Machine Learning Microservices Python GCloud Kubernetes Big Query From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 4

Slide 4 text

FLYR DEVS ON PYCON CZ FLYR DEVS ON PYCON CZ From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 5

Slide 5 text

IN FLYR MICROSERVICES IN FLYR MICROSERVICES IPC based on HTTP From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 6

Slide 6 text

IN FLYR MICROSERVICES IN FLYR MICROSERVICES IPC based on HTTP New requirements for eCommerce use case From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 7

Slide 7 text

FAN-OUT REQUESTS FAN-OUT REQUESTS From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 8

Slide 8 text

PARTIAL RESPONSES PARTIAL RESPONSES From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 9

Slide 9 text

PARTIAL RESPONSES PARTIAL RESPONSES From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 10

Slide 10 text

IN FLYR MICROSERVICES IN FLYR MICROSERVICES IPC based on HTTP New requirements for eCommerce use case partial responses From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 11

Slide 11 text

IN FLYR MICROSERVICES IN FLYR MICROSERVICES IPC based on HTTP New requirements for eCommerce use case partial responses performance From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 12

Slide 12 text

IN FLYR MICROSERVICES IN FLYR MICROSERVICES IPC based on HTTP New requirements for eCommerce use case partial responses performance We will need MQs anyway in the future From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 13

Slide 13 text

OK, LET'S SWITCH FROM HTTP OK, LET'S SWITCH FROM HTTP TO... A... MQ? TO... A... MQ? From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 14

Slide 14 text

BUT... BUT... From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 15

Slide 15 text

BUT... BUT... We have HTTP-based infrastructure From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 16

Slide 16 text

BUT... BUT... We have HTTP-based infrastructure We have HTTP developers experience and habits From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 17

Slide 17 text

BUT... BUT... We have HTTP-based infrastructure We have HTTP developers experience and habits We lack experience with MQ-based IPC From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 18

Slide 18 text

BUT... BUT... We have HTTP-based infrastructure We have HTTP developers experience and habits We lack experience with MQ-based IPC We need to do it well ;-) From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 19

Slide 19 text

WITH MQ WE GET WITH MQ WE GET Flexibility Reliability Scalability Robustness From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 20

Slide 20 text

NEW OPPORTUNITIES... NEW OPPORTUNITIES... From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 21

Slide 21 text

NEW OPPORTUNITIES... NEW OPPORTUNITIES... TO MAKE TO MAKE NEW MISTAKES NEW MISTAKES From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 22

Slide 22 text

NEW OPPORTUNITIES... NEW OPPORTUNITIES... TO MAKE TO MAKE NEW MISTAKES NEW MISTAKES Concurrency issues From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 23

Slide 23 text

NEW OPPORTUNITIES... NEW OPPORTUNITIES... TO MAKE TO MAKE NEW MISTAKES NEW MISTAKES Concurrency issues Race conditions From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 24

Slide 24 text

NEW OPPORTUNITIES... NEW OPPORTUNITIES... TO MAKE TO MAKE NEW MISTAKES NEW MISTAKES Concurrency issues Race conditions Incorrect broker choice From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 25

Slide 25 text

NEW OPPORTUNITIES... NEW OPPORTUNITIES... TO MAKE TO MAKE NEW MISTAKES NEW MISTAKES Concurrency issues Race conditions Incorrect broker choice Incorrect driver for the correct broker From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 26

Slide 26 text

NEW OPPORTUNITIES... NEW OPPORTUNITIES... TO MAKE TO MAKE NEW MISTAKES NEW MISTAKES Concurrency issues Race conditions Incorrect broker choice Incorrect driver for the correct broker Incorrect usage patterns for the correct driver From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 27

Slide 27 text

NEW OPPORTUNITIES... NEW OPPORTUNITIES... TO MAKE TO MAKE NEW MISTAKES NEW MISTAKES Concurrency issues Race conditions Incorrect broker choice Incorrect driver for the correct broker Incorrect usage patterns for the correct driver Incorrect usage patterns for the correct broker From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 28

Slide 28 text

NEW OPPORTUNITIES... NEW OPPORTUNITIES... TO MAKE TO MAKE NEW MISTAKES NEW MISTAKES Concurrency issues Race conditions Incorrect broker choice Incorrect driver for the correct broker Incorrect usage patterns for the correct driver Incorrect usage patterns for the correct broker . . . From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 29

Slide 29 text

LET'S CONTAIN THE RISKS IN LET'S CONTAIN THE RISKS IN ONE PLACE ONE PLACE From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 30

Slide 30 text

LET'S CONTAIN THE RISKS IN LET'S CONTAIN THE RISKS IN ONE PLACE ONE PLACE (A LIBRARY) (A LIBRARY) From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 31

Slide 31 text

AND CALL THIS PLACE AND CALL THIS PLACE async_calls async_calls From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 32

Slide 32 text

AND CALL THIS PLACE AND CALL THIS PLACE async_calls async_calls (FOR THE LACK OF BETTER CONCEPT) (FOR THE LACK OF BETTER CONCEPT) From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 33

Slide 33 text

A LIBRARY THAT A LIBRARY THAT meets functional requirements for developers, resembles HTTP where possible uses a MQ broker for communication From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 34

Slide 34 text

FOR MAINTAINERS FOR MAINTAINERS THE SAURON ADVANTAGE :) THE SAURON ADVANTAGE :) From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 35

Slide 35 text

FOR MAINTAINERS FOR MAINTAINERS THE SAURON ADVANTAGE :) THE SAURON ADVANTAGE :) From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 36

Slide 36 text

FOR MAINTAINERS FOR MAINTAINERS THE SAURON ADVANTAGE :) THE SAURON ADVANTAGE :) One place to fix them all (bugs) One place to change them all (decisions about broker, drivers, ...) One place to apply them all (correct usage patters) From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 37

Slide 37 text

FOR DEVELOPERS FOR DEVELOPERS New complexity is hidden Lower entry barrier From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 38

Slide 38 text

DECISIONS DECISIONS From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 39

Slide 39 text

DECISIONS DECISIONS Message Broker – Kafka performance persistence From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 40

Slide 40 text

DECISIONS DECISIONS Message Broker – Kafka performance persistence Kafka driver – confluent-kafka performance supported by Confluent From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 41

Slide 41 text

ASSUMPTIONS ASSUMPTIONS Make it simple – provide just IPC Library, not framework approach Make it testable manually (curl-like tool) automatically (reasonable mocks) Make it resemble Flask? From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 42

Slide 42 text

TALK IS CHEAP! TALK IS CHEAP! From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 43

Slide 43 text

From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 44

Slide 44 text

CREATE AN APPLICATION OBJECT CREATE AN APPLICATION OBJECT from async_calls import AsyncCalls async_calls = AsyncCalls('a-money-broker') From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 45

Slide 45 text

CREATE AN APPLICATION OBJECT CREATE AN APPLICATION OBJECT CREATE A BASIC ENDPOINT CREATE A BASIC ENDPOINT from async_calls import AsyncCalls async_calls = AsyncCalls('a-money-broker') @async_calls.server.callback_for('/show-me-the-money') def show_me_the_money(request): for i in range(1,5): payload = f"Response {i} for call: {request.id}" response = request.create_response(payload) async_calls.server.send(response) time.sleep(1) From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 46

Slide 46 text

CREATE AN APPLICATION OBJECT CREATE AN APPLICATION OBJECT CREATE A BASIC ENDPOINT CREATE A BASIC ENDPOINT from async_calls import AsyncCalls async_calls = AsyncCalls('a-money-broker') # a service ID @async_calls.server.callback_for('/show-me-the-money') def show_me_the_money(request): for i in range(1,5): payload = f"Response {i} for call: {request.id}" response = request.create_response(payload) async_calls.server.send(response) time.sleep(1) From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 47

Slide 47 text

CREATE AN APPLICATION OBJECT CREATE AN APPLICATION OBJECT CREATE A BASIC ENDPOINT CREATE A BASIC ENDPOINT from async_calls import AsyncCalls async_calls = AsyncCalls('a-money-broker') # a service ID @async_calls.server.callback_for('/show-me-the-money') def show_me_the_money(request): # ^^^^^^^^ an endpoint name for i in range(1,5): payload = f"Response {i} for call: {request.id}" response = request.create_response(payload) async_calls.server.send(response) time.sleep(1) From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 48

Slide 48 text

CREATE A BASIC CLIENT CREATE A BASIC CLIENT request = async_calls.client.new_message( destination_service_id: 'a-money-broker', target_endpoint: '/show-me-the-money', request_payload ) async_calls.client.send(request) From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 49

Slide 49 text

CREATE A BASIC CLIENT CREATE A BASIC CLIENT @async_calls.client.callback_for( 'a-money-broker', '/show-me-the-money') def the_money_handler(response): logger.info( f"Got: {response.id} for: {response.referenced_id}" ) request = async_calls.client.new_message( destination_service_id: 'a-money-broker', target_endpoint: '/show-me-the-money', request_payload ) async_calls.client.send(request) From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 50

Slide 50 text

TO START LISTENING TO START LISTENING (CLIENT AND SERVER) (CLIENT AND SERVER) async_calls.listen() From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 51

Slide 51 text

WHAT WE HAVE THEN? WHAT WE HAVE THEN? From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 52

Slide 52 text

WHAT WE HAVE THEN? WHAT WE HAVE THEN? Server — event-driven (like HTTP) From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 53

Slide 53 text

WHAT WE HAVE THEN? WHAT WE HAVE THEN? Server — event-driven (like HTTP) Client — non-blocking, event-driven (unlike HTTP) From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 54

Slide 54 text

WHAT WE HAVE THEN? WHAT WE HAVE THEN? Server — event-driven (like HTTP) Client — non-blocking, event-driven (unlike HTTP) One request — any number of responses From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 55

Slide 55 text

WHAT WE HAVE THEN? WHAT WE HAVE THEN? Server — event-driven (like HTTP) Client — non-blocking, event-driven (unlike HTTP) One request — any number of responses A single process can be a server and a client From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 56

Slide 56 text

HOW DO WE TEST THIS!? HOW DO WE TEST THIS!? From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 57

Slide 57 text

async_calls async_calls HAS A TESTING MODE HAS A TESTING MODE From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 58

Slide 58 text

TESTING A SERVER TESTING A SERVER DOES IT RESPOND CORRECTLY? DOES IT RESPOND CORRECTLY? From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 59

Slide 59 text

TESTING A CLIENT TESTING A CLIENT DOES IT SEND EXPECTED REQUESTS? DOES IT SEND EXPECTED REQUESTS? From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 60

Slide 60 text

TESTING CLIENT TESTING CLIENT FAKING SERVER'S RESPONSE FAKING SERVER'S RESPONSE From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 61

Slide 61 text

TESTING SUMMARY TESTING SUMMARY Tools out-of-the-box Calls made on stack, deterministic tests No MQ broker required for unittests No need to think about IPC details when implementing tests From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 62

Slide 62 text

MANY MORE FEATURES MANY MORE FEATURES before send and before receive hooks (e.g. for validations) endpoint context managers (e.g. for performance measurements) endpoint error handlers Kubernetes healthcheck CLI curl-like client From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 63

Slide 63 text

ANY DRAWBACKS? ANY DRAWBACKS? Hiding complexity we hide opportunities... ...not only to make new errors e.g. no Kafka Streams via async_calls From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 64

Slide 64 text

HOW DID IT SAVE US? HOW DID IT SAVE US? Concurrency issues Race conditions Incorrect broker choice Incorrect driver for the correct broker Incorrect usage patterns for the correct driver Incorrect usage patterns for the correct broker . . . From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 65

Slide 65 text

SUMMARY SUMMARY Switching from HTTP to async_calls Server is straightforward Client is not complicated From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 66

Slide 66 text

SUMMARY SUMMARY Switching from HTTP to async_calls Server is straightforward Client is not complicated Support for one-way communication From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 67

Slide 67 text

SUMMARY SUMMARY Switching from HTTP to async_calls Server is straightforward Client is not complicated Support for one-way communication More complex use cases require more attention From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 68

Slide 68 text

SUMMARY SUMMARY Switching from HTTP to async_calls Server is straightforward Client is not complicated Support for one-way communication More complex use cases require more attention Services are easily testable From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 69

Slide 69 text

SUMMARY SUMMARY Switching from HTTP to async_calls Server is straightforward Client is not complicated Support for one-way communication More complex use cases require more attention Services are easily testable Standard project-wide layer for asynchronous IPC From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 70

Slide 70 text

SUMMARY SUMMARY Switching from HTTP to async_calls Server is straightforward Client is not complicated Support for one-way communication More complex use cases require more attention Services are easily testable Standard project-wide layer for asynchronous IPC A number of small but useful bonuses From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 71

Slide 71 text

ASYNCHRONOUS WAR STORIES ASYNCHRONOUS WAR STORIES From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 72

Slide 72 text

SERVICES SERVICES From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 73

Slide 73 text

FAILURES AND ERRORS FAILURES AND ERRORS From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 74

Slide 74 text

SERVICES – HAPPY PATH SERVICES – HAPPY PATH From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 75

Slide 75 text

COMMUNICATION ASSUMPTIONS COMMUNICATION ASSUMPTIONS Deduplication (using version on each record) Version checking on >= version not on == version + 1 Error in code causes exception Exception prevents committing of Kafka message From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 76

Slide 76 text

SERVICES – FAILURE 1 SERVICES – FAILURE 1 From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 77

Slide 77 text

SERVICES – FAILURE 2 SERVICES – FAILURE 2 From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 78

Slide 78 text

SERVICES – FAILURE 3 SERVICES – FAILURE 3 From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 79

Slide 79 text

MESSAGE (RE)ORDERING MESSAGE (RE)ORDERING From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 80

Slide 80 text

MESSAGE ORDER OK MESSAGE ORDER OK From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 81

Slide 81 text

MESSAGE ORDER CHANGED MESSAGE ORDER CHANGED From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 82

Slide 82 text

ASYNCHRONOUS (REST-LIKE) CRUD ASYNCHRONOUS (REST-LIKE) CRUD From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 83

Slide 83 text

ASYNCHRONOUS (REST-LIKE) ASYNCHRONOUS (REST-LIKE) CRUD CRUD From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 84

Slide 84 text

DELETE CANNOT DELETE? DELETE CANNOT DELETE? From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 85

Slide 85 text

DELETE SHOULD CREATE? DELETE SHOULD CREATE? From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 86

Slide 86 text

PATCH? PATCH? From HTTP to Kafka-based Microservices – [email protected] – @wrzasa

Slide 87

Slide 87 text

SUMMARY SUMMARY A library hiding MQ from devs works well Cannot hide all async problems behind a facade Consequences in DB design Decisions dependent on business logic HTTP to MQ is not just a change of transport Procedures of restoring data consistency Do I really need all this mess? From HTTP to Kafka-based Microservices – [email protected] – @wrzasa